Literature DB >> 16980355

K+ conduction in the selectivity filter of potassium channels is monitored by the charge distribution along their sequence.

Werner Treptow1, Mounir Tarek.   

Abstract

Potassium channels display a high conservation of sequence of the selectivity filter (SF), yet nature has designed a variety of channels that present a wide range of absolute rates of K(+) permeation. In KcsA, the structural archetype for K channels, under physiological concentrations, two K(+) ions reside in the SF in configurations 1,3 (up state) and 2,4 (down state) and ion conduction is believed to follow a throughput cycle involving a transition between these states. Using free-energy calculations of KcsA, Kv1.2, and mutant channels, we show that this transition is characterized by a channel-dependent energy barrier. This barrier is strongly influenced by the charges partitioned along the sequence of each channel. These results unveil therefore how, for similar structures of the SF, the rate of K(+) turnover may be fine-tuned within the family of potassium channels.

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Year:  2006        PMID: 16980355      PMCID: PMC1630468          DOI: 10.1529/biophysj.106.095992

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  21 in total

1.  Energetic optimization of ion conduction rate by the K+ selectivity filter.

Authors:  J H Morais-Cabral; Y Zhou; R MacKinnon
Journal:  Nature       Date:  2001-11-01       Impact factor: 49.962

2.  Filter flexibility in a mammalian K channel: models and simulations of Kir6.2 mutants.

Authors:  Charlotte E Capener; Peter Proks; Frances M Ashcroft; Mark S P Sansom
Journal:  Biophys J       Date:  2003-04       Impact factor: 4.033

3.  Electrostatic tuning of ion conductance in potassium channels.

Authors:  Crina M Nimigean; Joshua S Chappie; Christopher Miller
Journal:  Biochemistry       Date:  2003-08-12       Impact factor: 3.162

4.  The occupancy of ions in the K+ selectivity filter: charge balance and coupling of ion binding to a protein conformational change underlie high conduction rates.

Authors:  Yufeng Zhou; Roderick MacKinnon
Journal:  J Mol Biol       Date:  2003-11-07       Impact factor: 5.469

5.  A mutant KcsA K(+) channel with altered conduction properties and selectivity filter ion distribution.

Authors:  Ming Zhou; Roderick MacKinnon
Journal:  J Mol Biol       Date:  2004-05-07       Impact factor: 5.469

6.  A gate in the selectivity filter of potassium channels.

Authors:  Simon Bernèche; Benoît Roux
Journal:  Structure       Date:  2005-04       Impact factor: 5.006

7.  Environment of the gating charges in the Kv1.2 Shaker potassium channel.

Authors:  Werner Treptow; Mounir Tarek
Journal:  Biophys J       Date:  2006-03-13       Impact factor: 4.033

8.  Molecular dynamics of the KcsA K(+) channel in a bilayer membrane.

Authors:  S Bernèche; B Roux
Journal:  Biophys J       Date:  2000-06       Impact factor: 4.033

9.  Water and potassium dynamics inside the KcsA K(+) channel.

Authors:  L Guidoni; V Torre; P Carloni
Journal:  FEBS Lett       Date:  2000-07-14       Impact factor: 4.124

10.  Putative receptor for the cytoplasmic inactivation gate in the Shaker K+ channel.

Authors:  E Y Isacoff; Y N Jan; L Y Jan
Journal:  Nature       Date:  1991-09-05       Impact factor: 49.962

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  14 in total

1.  Importance of the peptide backbone description in modeling the selectivity filter in potassium channels.

Authors:  Turgut Baştuğ; Serdar Kuyucak
Journal:  Biophys J       Date:  2009-05-20       Impact factor: 4.033

2.  The mechanism of Na⁺/K⁺ selectivity in mammalian voltage-gated sodium channels based on molecular dynamics simulation.

Authors:  Mengdie Xia; Huihui Liu; Yang Li; Nieng Yan; Haipeng Gong
Journal:  Biophys J       Date:  2013-06-04       Impact factor: 4.033

3.  Pore waters regulate ion permeation in a calcium release-activated calcium channel.

Authors:  Hao Dong; Giacomo Fiorin; Vincenzo Carnevale; Werner Treptow; Michael L Klein
Journal:  Proc Natl Acad Sci U S A       Date:  2013-10-07       Impact factor: 11.205

4.  Comparative study of the energetics of ion permeation in Kv1.2 and KcsA potassium channels.

Authors:  Turgut Baştuğ; Serdar Kuyucak
Journal:  Biophys J       Date:  2011-02-02       Impact factor: 4.033

Review 5.  Modeling and simulation of ion channels.

Authors:  Christopher Maffeo; Swati Bhattacharya; Jejoong Yoo; David Wells; Aleksei Aksimentiev
Journal:  Chem Rev       Date:  2012-10-04       Impact factor: 60.622

6.  Computer Simulations of Voltage-Gated Cation Channels.

Authors:  Werner Treptow; Michael L Klein
Journal:  J Phys Chem Lett       Date:  2012-03-29       Impact factor: 6.475

Review 7.  Computational analysis of membrane proteins: the largest class of drug targets.

Authors:  Yalini Arinaminpathy; Ekta Khurana; Donald M Engelman; Mark B Gerstein
Journal:  Drug Discov Today       Date:  2009-09-03       Impact factor: 7.851

8.  A novel mutation KCNQ1p.Thr312del is responsible for long QT syndrome type 1.

Authors:  Xiao-Meng Chen; Kai Guo; Hong Li; Qiu-Fen Lu; Chao Yang; Ying Yu; Jian-Wen Hou; Yu-Dong Fei; Jian Sun; Jun Wang; Yi-Xue Li; Yi-Gang Li
Journal:  Heart Vessels       Date:  2018-07-14       Impact factor: 2.037

9.  Molecular dynamics simulations of voltage-gated cation channels: insights on voltage-sensor domain function and modulation.

Authors:  Lucie Delemotte; Michael L Klein; Mounir Tarek
Journal:  Front Pharmacol       Date:  2012-05-25       Impact factor: 5.810

10.  Ion conduction through the hERG potassium channel.

Authors:  Luisa Ceccarini; Matteo Masetti; Andrea Cavalli; Maurizio Recanatini
Journal:  PLoS One       Date:  2012-11-02       Impact factor: 3.240

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